Data Engineer

It's fun to work in a company where people truly believe in what they are doing!

• Build & operate pipelines using Azure Data Factory (or Synapse Data Pipelines) to ingest and transform data into our Azure Data Lake and Synapse/SQL layers.

• Develop SQL views/tables and reusable transformation logic to support analytics and reporting (including Power BI semantic models).

• Own reliability for assigned data domains: monitor jobs, triage incidents, perform root‑cause analysis, and execute break/fix and performance tuning.

• Ensure data quality via validation checks, schema enforcement, and automated tests; document lineage and business rules.

• Collaborate with BI developers and business partners to translate requirements into well-documented data sets optimized for consumption.

• Harden and improve CI/CD (Azure DevOps), environments, and runbooks for repeatable, compliant delivery.

• Contribute to standards (naming, partitioning, coding patterns) and knowledge base articles/playbooks for on-call support.

• 2–5 years in data engineering or adjacent software/data roles with hands-on delivery in cloud data platforms.

• Strong SQL and performance tuning on Synapse/SQL Server (or equivalent).

• Practical experience with Azure Data Factory / Synapse pipelines, Databricks (PySpark), and Azure Data Lake.

• Familiarity with dimensional/semantic modeling for Power Query or Power BI.

• Exposure to Microsoft Fabric concepts, Purview governance, or metadata/lineage tooling.

• Experience integrating data from ERP platforms (e.g., SAP, Sage/SL, Business One) and SaaS sources.

• Data testing frameworks, orchestration patterns, and cost/performance optimization on Azure.

Please press Apply to submit your application.

From inside the farm gate to our dinner plates, Neogen protects the world’s food supply. Through a variety of animal healthcare products, to food safety solutions for dangerous bacteria, allergens, toxins, drug residues and much more, Neogen is there — and you can be too.